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Low load diesel perceptions and practices within remote area power systems


Hamilton, J and Negnevitsky, M and Wang, X, Low load diesel perceptions and practices within remote area power systems, Proceedings of the 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), 7-11 September 2016, Vienna, Austria, pp. 121-126. ISBN 978-1-4799-7735-2 (2015) [Refereed Conference Paper]

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Copyright 2015 IEEE

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DOI: doi:10.1109/SEDST.2015.7315194


Diesel generators account for the majority of generation into remote and off-grid power systems. However, complementary generation alternatives are increasingly becoming both available and cost competitive, specifically via the introduction of renewable technologies. Achieving optimal integration requires the diesel generators to be able to operate sustainably at low load levels. A key roadblock to greater renewable utilisation remains the inability of diesel infrastructure to run at low loads. The University of Tasmania has surveyed extensively across remote area power system stakeholders to define current perceptions and practices surrounding this issue. The survey finds a market frustrated by a lack of information, supporting large cultural bias to long held operational practices and beliefs. Barriers to implementation of low load specific technologies are thus both technical and cultural in nature. With regard to both, improved access to information would address market disinformation and displace myths currently responsible for inaction within the sector.

Item Details

Item Type:Refereed Conference Paper
Keywords:distributed generation, hybrid power systems, micro grids, low load diesel, renewable energy sources
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Hamilton, J (Mr James Hamilton)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:Wang, X (Professor Xiaolin Wang)
ID Code:105791
Year Published:2015
Deposited By:Engineering
Deposited On:2016-01-14
Last Modified:2017-11-06

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